Hydrogen-Bonding Bottlebrush Networks: Self-Healing Materials from Super-Soft to Stiff

MACROMOLECULES(2022)

引用 8|浏览12
暂无评分
摘要
The impact of polymer architecture on network dynamics and self-healing is presented using bottlebrushes containing side chains that are end-functionalized with 2-ureido-4[1H]-pyrimidinone (UPy). The synthesis of these materials is straightforward through a three-step process: (1) synthesizing rubbery poly(4-methylcaprolactone) macromonomers (p4MCL-OH) with a norbornene-based initiator, (2) functionalizing the terminal hydroxyl group with UPy-isocyanate (p4MCL-UPy), and (3) statistically copolymerizing p4MCL-OH and p4MCL-UPy via ring-opening metathesis polymerization (ROMP) to form hydrogen-bonding bottlebrushes having a fraction (p) of side chains functionalized with UPy. Attaching UPy to the free end of bottlebrush side chains dilutes the impact of friction from complementary UPy interactions on segmental dynamics, leading to a much weaker dependence of the glass-transition temperature (T-g) on p than observed in linear analogues, while the activation energy to dissociate UPy-UPy bonds (41-47 kJ/mol) remains mostly unchanged. Longer side chains result in a competition between reducing T-g and inducing entanglements that influence hydrogen-bonded network dynamics. Increasing the backbone length extends the sticky Rouse region without affecting the network modulus (G(x)) or UPy-UPy dissociation time (tau(s)). G(x) scales linearly with p and ranges from 27 kPa to 1.6 MPa, while tau(s) remains nearly constant in contrast to linear telechelic ionomers, implying a similar self-healability across bottlebrush networks containing different amounts of UPy. These stretchable networks with p < 0.25 undergo self-healing upon repeated rupture and melt pressing at <= 100 degrees C while retaining similar tensile properties. In summary, decorating bottlebrush polymers with hydrogen bonds creates opportunities to independently manipulate associative network dynamics and mechanical moduli.
更多
查看译文
关键词
stiff,materials,hydrogen-bonding,self-healing,super-soft
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要